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Article
DNA-GA: A Tractable Approach for Performance Analysis of Uplink Cellular Networks
IEEE Transactions on Communications
  • Ming Ding
  • David Lopez-Perez
  • Guoqiang Mao
  • Zihuai Lin
  • Sajal K. Das, Missouri University of Science and Technology
Abstract

In this paper, we propose a tractable semi-analytical approach for the network performance analysis of uplink (UL) cellular networks, which is based on a deterministic network analysis using a Gaussian approximation (DNA-GA). The key contribution of this paper is to investigate the UL signal-to-interference ratio (SIR) performance using the DNA-GA analysis. In particular, the SIR is modeled as a ratio of two random variables (RVs), representing the signal power and the aggregate interference power, respectively. The signal power is further characterized by a product of two RVs, i.e., a lognormal RV and an RV with an arbitrary distribution. The former RV comes from a common assumption of lognormal shadow fading, and the latter one takes the rest of random factors into account, such as random user positions, arbitrary types of multi-path fading, and so on. The aggregate interference power is approximated by an RV with a power lognormal distribution. The proposed DNA-GA analysis has several desirable features: 1) it naturally considers lognormal shadow fading; 2) it can treat arbitrary shape and/or size of cell coverage areas; 3) it can handle non-uniform user distributions; 4) it can cope with any type of multi-path fading; and 5) it can be applied to multi-antenna base stations. These features make the DNA-GA analysis very useful for the network performance analysis of the 5th generation systems with general cell deployment and user distribution.

Meeting Name
2017 IEEE International Conference on Communications, ICC 2017 (2017: May 21-25, Paris, France)
Department(s)
Computer Science
Research Center/Lab(s)
Intelligent Systems Center
Second Research Center/Lab
Center for High Performance Computing Research
Keywords and Phrases
  • Aggregates,
  • Codes (symbols),
  • DNA,
  • Fading channels,
  • Microscopic examination,
  • Mobile telecommunication systems,
  • Network performance,
  • Wave interference,
  • Wireless networks,
  • 3GPP,
  • approximation,
  • Gaussians,
  • Log-normal,
  • Macro cells,
  • Signal-to-interference ratio (SIR),
  • Small cell Networks(SCNs),
  • Uplink,
  • Multipath fading,
  • Lognormal,
  • Performance analysis,
  • Power lognormal
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2018 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
1-1-2018
Publication Date
01 Jan 2018
Disciplines
Citation Information
Ming Ding, David Lopez-Perez, Guoqiang Mao, Zihuai Lin, et al.. "DNA-GA: A Tractable Approach for Performance Analysis of Uplink Cellular Networks" IEEE Transactions on Communications Vol. 66 Iss. 1 (2018) p. 355 - 369 ISSN: 0090-6778; 558-0857
Available at: http://works.bepress.com/sajal-das/40/